CT radiomics combined with clinical and radiological factors predict hematoma expansion in hypertensive intracerebral hemorrhage.

OBJECTIVES: This study aimed to establish a hematoma expansion (HE) prediction model for hypertensive intracerebral hemorrhage (HICH) patients by combining CT radiomics, clinical information, and conventional imaging signs. METHODS: A retrospective continuous collection of HICH patients from three medical centers was divided into a training set (n = 555), a validation set (n = 239), and a test set (n = 77). Extract radiomics features from baseline CT plain scan images and combine them with clinical information and conventional imaging signs to construct radiomics models, clinical imaging sign models, and hybrid models, respectively. The models will be evaluated using the area under the curve (AUC), clinical decision curve analysis (DCA), net reclassification index (NRI), and integrated discrimination improvement (IDI). RESULTS: In the training, validation, and testing sets, the radiomics model predicts an AUC of HE of 0.885, 0.827, and 0.894, respectively, while the clinical imaging sign model predicts an AUC of HE of 0.759, 0.725, and 0.765, respectively. Glasgow coma scale score at admission, first CT hematoma volume, irregular hematoma shape, and radiomics score were used to construct a hybrid model, with AUCs of 0.901, 0.838, and 0.917, respectively. The DCA shows that the hybrid model had the highest net profit rate. Compared with the radiomics model and the clinical imaging sign model, the hybrid model showed an increase in NRI and IDI. CONCLUSION: The hybrid model based on CT radiomics combined with clinical and radiological factors can effectively individualize the evaluation of the risk of HE in patients with HICH. CLINICAL RELEVANCE STATEMENT: CT radiomics combined with clinical information and conventional imaging signs can identify HICH patients with a high risk of HE and provide a basis for clinical-targeted treatment. KEY POINTS: HE is an important prognostic factor in patients with HICH. The hybrid model predicted HE with training, validation, and test AUCs of 0.901, 0.838, and 0.917, respectively. This model provides a tool for a personalized clinical assessment of early HE risk.

Food-derived peptides unleashed: emerging roles as food additives beyond bioactivities.

Innovating food additives stands as a cornerstone for the sustainable evolution of future food systems. Peptides derived from food proteins exhibit a rich array of physicochemical and biological attributes crucial for preserving the appearance, flavor, texture, and nutritional integrity of foods. Leveraging these peptides as raw materials holds great promise for the development of novel food additives. While numerous studies underscore the potential of peptides as food additives, existing reviews predominantly focus on their biotic applications, leaving a notable gap in the discourse around their abiotic functionalities, such as their physicochemical properties. Addressing this gap, this review offers a comprehensive survey of peptide-derived food additives in food systems, accentuating the application of peptides' abiotic properties. It furnishes a thorough exploration of the underlying mechanisms and diverse applications of peptide-derived food additives, while also delineating the challenges encountered and prospects for future applications. This well-time review will set the stage for a deeper understanding of peptide-derived food additives.

Correlation of CT features of lung adenocarcinoma with sex and age.

This study aimed to retrospectively examine the computed tomography (CT) features of lung adenocarcinoma across different demographic groups. Preoperative chest CT findings from 1266 surgically resected lung adenocarcinoma cases were retrospectively analyzed. Lung adenocarcinomas were categorized based on CT characteristics into pure ground glass (pGGO), nodule-containing ground glass opacity (mGGO), and pure solid without containing ground glass opacity (pSD). These categories were correlated with sex, age, EGFR status, and five histopathological subtypes. The diameters of pGGO, mGGO, and pSD significantly increased across all patient groups (P < 0.05). Males exhibited a significantly higher proportion of pSD than females (P = 0.002). The mean diameters of pGGO and pSD were significantly larger in males than in females (P = 0.0017 and P = 0.043, respectively). The frequency of pGGO was higher in the younger age group (≤ 60 years) compared to the older group (> 60 years) for both males (P = 0.002) and females (P = 0.027). The frequency of pSD was higher in the older age group for both sexes. A linear correlation between age and diameter was observed in the entire cohort as well as in the male and female groups (P < 0.0001 for all groups). EGFR mutations were less frequent in pSD compared to pGGO (P = 0.0002) and mGGO (P < 0.0001). The frequency of lesions containing micropapillary components increased from pGGO to mGGO and pSD (P < 0.0001 for all). The frequency of lesions containing solid components also increased from pGGO to mGGO and pSD (P = 0.045, P < 0.0001, and P < 0.0001, respectively). The CT features of lung adenocarcinoma exhibit differences across genders and age groups. Male gender and older age are risk factors for lung adenocarcinoma growth.

The Response of Soil Respiration to Temperature and Humidity in the Thermokarst Depression Zone of the Headwater Wetlands of Qinghai Lake.

As the climate warms, the thickening of the active layer of permafrost has led to permafrost melting and surface collapse, forming thermokarst landforms. These changes significantly impact regional vegetation, soil physicochemical properties, and hydrological processes, thereby exacerbating regional carbon cycling. This study analyzed the relationship between soil respiration rate (Rs), soil temperature (T), and volumetric water content (VWC) in the thermokarst depression zone of the headwater wetlands of Qinghai Lake, revealing their influence on these soil parameters. Results showed a significant positive correlation between soil temperature and Rs (p < 0.001), and a significant negative correlation between VWC and Rs (p < 0.001). The inhibitory effect of VWC on Rs in the thermokarst depression zone was stronger than under natural conditions (p < 0.05). Single-factor models indicated that the temperature-driven model had higher explanatory power for Rs variation in both the thermokarst depression zone (R2 = 0.509) and under natural conditions (R2 = 0.414), while the humidity-driven model had lower explanatory power. Dual-factor models further improved explanatory power, slightly more so in the thermokarst depression zone. This indicates that temperature and humidity jointly drive Rs. Additionally, during the daytime, temperature had a more significant impact on Rs under natural conditions, while increased VWC inhibited Rs. At night, the positive correlation between Rs and temperature in the thermokarst depression zone increased significantly. The temperature sensitivity (Q10) values of Rs were 3.32 and 1.80 for the thermokarst depression zone and natural conditions, respectively, indicating higher sensitivity to temperature changes at night in the thermokarst depression zone. This study highlights the complexity of soil respiration responses to temperature and humidity in the thermokarst depression zone of Qinghai Lake's headwater wetlands, contributing to understanding carbon cycling in wetland ecosystems and predicting wetland carbon emissions under climate change.

[Clinical Characteristics and Prognosis of Patients with Acute Leukemia Complicated with Mucormycosis after Chemotherapy].

OBJECTIVE: To analyze the characteristics and prognosis of patients with mucormycosis after chemotherapy for acute leukemia, and to strengthen understanding of the disease. METHODS: 7 cases of acute leukemia (AL) patients diagnosed with mucormycosis by metagenomic next generation sequencing (mNGS) after chemotherapy at the First Affiliated Hospital of Bengbu Medical College from October 2021 to June 2022 were collected, and their clinical data, including clinical characteristics, diagnosis, treatment, and prognosis, were retrospectively analyzed. RESULTS: Among the 7 patients with AL complicated with mucormycosis, there were 3 males and 4 females, with a median age of 52(20-59) years. There were 6 cases of acute myeloid leukemia (AML) and 1 case of acute lymphocytic leukemia (ALL). Extrapulmonary involvement in 4 cases, including 1 case suspected of central nervous system involvement. The median time for the occurrence of mucor infection was 16(6-69) days after chemotherapy and 19(14-154) days after agranulocytosis. The main clinical manifestations of mucormycosis were fever (7/7), cough (3/7), chest pain (3/7) and dyspnea (1/7). The most common chest CT imaging findings were nodules, patchy or mass consolidation (6/7). All patients were treated with posaconazole or voriconazole prophylaxis during neutropenia phase. 5 patients died within 8 months, and the median time from diagnosis to death was 1 month. CONCLUSION: Although prophylactic antifungal therapy is adopted, patients with acute leukemia still have a risk of mucor infection during the neutropenia phase. Fever is the main manifestation in the early stage of mucor infection. The use of intravenous antifungal drugs alone is ineffective and there is a high mortality rate in acute leukemia patients with mucormycosis.

[Expert consensus on the diagnosis and treatment of respiratory diseases exacerbated by nonsteroidal anti-inflammatory drugs （2024, Chengdu）].

Non-steroidal anti-inflammatory drugs-exacerbated respiratory disease （N-ERD） is a chronic respiratory disease characterized by eosinophilic inflammation, featuring chronic rhinosinusitis （CRS）, asthma, and intolerance to cyclooxygenase 1 （COX-1） inhibitors. The use of these medications can lead to an acute worsening of rhinitis and asthma symptoms. This condition has not yet received sufficient attention in China, with a high rate of misdiagnosis and a lack of related research. The Chinese Rhinology Research Group convened a group of leading young experts in otolaryngology from across the country, based on the latest domestic and international evidence-based medical practices to formulate this consensus.The consensus covers the epidemiology, pathogenesis, clinical manifestations, diagnostic methods, and treatment strategies for N-ERD, including pharmacotherapy, surgery, biologic treatments, and desensitization therapy. The goal is to improve recognition of N-ERD, reduce misdiagnosis, and enhance treatment outcomes.

SIRT3 and RORα are two prospective targets against mitophagy during simulated ischemia/reperfusion injury in H9c2 cells.

Autophagy during myocardial ischemia/reperfusion (MI/R) exacerbates cardiomyocyte injury. Melatonin (Mel) alleviates myocardial damage by regulating mitochondrial function and mitophagy, but the role of mitophagy in melatonin-induced cardioprotection remains unclear. This study aimed to explore the roles of sirtuin3 (SIRT3) and retinoid-related orphan nuclear receptor-α (RORα) in mitophagy during simulated ischemia reperfusion (SIR) in H9c2 cells. Our data showed that mitophagy was excessively activated after SIR injury, which was consistent with reduced cell survival, enhanced oxidative responses and mitochondrial dysfunction in H9c2 myocytes. Melatonin greatly enhanced cell viability, reduced oxidative stress and improved mitochondrial function. The effects of melatonin protection were involved in excessive mitophagy inhibition, as demonstrated by the reduced levels of mitophagy-linked proteins, including Parkin, Beclin1, NIX and BNIP3, and the LC3 II/LC3 I ratio and elevations in p62. Additionally, the decreases in SIRT3 and RORα in H9c2 myocytes after SIR were reversed by melatonin, and the above effects of melatonin were eliminated by small interfering RNA (siRNA)-mediated knockdown of SIRT3 and RORα. In brief, SIRT3 and RORα are two prospective targets in the cardioprotection of melatonin against mitophagy during SIR in H9c2 myocytes.

Pore-blocking steric mass-action model for adsorption of bioparticles.

The steric mass-action (SMA) model has been widely reported to describe the adsorption of proteins in different types of chromatographic adsorbents. Here in the present work, a pore-blocking steric mass-action model (PB-SMA) was developed for the adsorption of large-size bioparticles, which usually exhibit the unique pore-blocking characteristic on the adsorbent and thus lead to a fraction of ligands in the deep channels physically inaccessible to bioparticles adsorption, instead of being shielded due to steric hindrance by adsorbed bioparticles. This unique phenomenon was taken into account by introducing an additional parameter, Lin, which is defined as the inaccessible ligand densities in the physically blocked pore area, into the PB-SMA model. This fraction of ligand densities (Lin) will be deducted from the total ligand (Lt) for model development, thus the steric factor (σ) in the proposed PB-SMA will reflect the steric shielding effect on binding sites by adsorbed bioparticles more accurately than the conventional SMA model, which assumes that all ligands on the adsorbent have the same accessibility to the bioparticles. Based on a series of model assumptions, a PB-SMA model was firstly developed for inactivated foot-and-mouth disease virus (iFMDV) adsorption on immobilized metal affinity chromatography (IMAC) adsorbents. Model parameters for static adsorption including equilibrium constant (K), characteristic number of binding sites (n), and steric factor (σ) were determined. Compared with those derived from the conventional SMA model, the σ values derived from the PB-SMA model were dozens of times smaller and much closer to the theoretical maximum number of ligands shielded by a single adsorbed iFMDV, indicating the modified model was more accurate for bioparticles adsorption. The applicability of the PB-SMA model was further validated by the adsorption of hepatitis B surface antigen virus-like particles (HBsAg VLPs) on an ion exchange adsorbent with reasonably improved accuracy. Thus, it is considered that the PB-SMA model would be more accurate in describing the adsorption of bioparticles on different types of chromatographic adsorbents.

Integration of Zn2+, ATP, and bFGF to Nanodressing with Core-Shell Structure Fabricated by Emulsion Electrospinning for Wound Healing.

Basic fibroblast growth factor (bFGF) plays an important role in active wound repair. However, the existing dosage forms in clinical applications are mainly sprays and freeze-dried powders, which are prone to inactivation and cannot achieve a controlled release. In this study, a bioactive wound dressing named bFGF-ATP-Zn/polycaprolactone (PCL) nanodressing with a "core-shell" structure was fabricated by emulsion electrospinning, enabling the sustained release of bFGF. Based on the coordination and electrostatic interactions among bFGF, ATP, and Zn2+, as well as their synergistic effect on promoting wound healing, a bFGF-ATP-Zn ternary combination system was prepared with higher cell proliferation activity and used as the water phase for emulsion electrospinning. The bFGF-ATP-Zn/PCL nanodressing demonstrated improved mechanical properties, sustained release of bFGF, cytocompatibility, and hemocompatibility. It increased the proliferation activity of human dermal fibroblasts (HDFs) and enhanced collagen secretion by 1.39 and 3.45 times, respectively, while reducing the hemolysis rate to 3.13%. The application of the bFGF-ATP-Zn/PCL nanodressing in mouse full-thickness skin defect repair showed its ability to accelerate wound healing and reduce wound scarring within 14 days. These results provide a research basis for the development and application of this bioactive wound dressing product.

Effective oxygen activation on polyoxometalate-based hybrids for epoxidation of alkenes.

Two polyoxometalate-based hybrids, [M(btap)3(H2O)3(HPW12O40)]·xH2O (M-PW, M = Co/Mn, btap = 3,5-bis(1',2',4'-triazol-1'-yl)pyridine) were synthesized. Co-PW exhibited higher activity and selectivity towards olefin epoxidation than Mn-PW due to the synergistic effect between CoII and PW, in which the Co centers activate O2 to ˙O2- and further binding of free H+ from PW affords the active peroxyacid.

Exploring Electron Transfer Mechanism in Synergistic Interactional Reduced Polyoxometalate-Based Cu(I)-Organic Framework for Photocatalytic Removal of U(VI).

Photocatalytic reduction of U(VI) is a promising method for removing uranium containing pollutants. However, using polyoxometalate-based metal-organic frameworks (POMOFs) for photoreduction of U(VI) is rare, and the relevant charge transfer pathway is also not yet clear. In this article, we demonstrate a highly efficient strategy and revealed a clearly electron transfer pathway for the photoreduction of U(VI) with 99% removal efficiency by using a novel POMOF, [Cu(4,4'-bipy)]5·{AsMo4VMo6VIV2VO40(VIVO)[VIVO(H2O)]}·2H2O (1), as catalyst. The POMOF catalyst was constructed by the connection of reduced {AsMo10V4} clusters and Cu(I)-MOF chains through Cu-O coordination bonds, which exhibits a broader and stronger light absorption capacity due to the presence of reduced {AsMo10V4} clusters. Significantly, the transition of electrons from Cu(I)-MOF to {AsMo10V4} clusters (Cu → Mo/V) greatly inhibits the recombination of photogenerated carriers, thereby advancing electron transfer. More importantly, the {AsMo10V4} clusters are not only adsorption sites but also catalytically active sites. This causes the fast transfer of photogenerated electrons from Mo/V to UO22+(Mo/V → O → U) via the surface oxygen atoms. The shorter electron transmission distance between catalytic active sites and UO22+ achieves faster and more effective electron transport. All in all, the highly effective photocatalytic removal of U(VI) using the POMOF as a catalyst is predominantly due to the synergistic interaction between Cu(I)-MOFs and reduced {AsMo10V4} clusters.

Genetic mutations and immune microenvironment: unveiling the connection to AML prognosis.

BACKGROUND: This study aims to investigate the correlation between NK and NKT cell proportion disparities and prognosis in patients with acute myeloid leukemia (AML). METHODS: Forty-four cases of acute myeloid leukemia patients were selected, and flow cytometry was utilized to evaluate the expression of bone marrow NK and NKT cells. Next-generation sequencing technology was employed to detect genetic mutations in these 44 AML patients, and the rates of first induction remission and overall survival were recorded. Comparisons were made to analyze the respective differences in NK and NKT cell proportions among AML patients with various genetic mutations and risk stratifications. RESULTS: The FLT-3-ITD+ group exhibited a significant increase in the proportion of NK cells compared to the normal control group and FLT3-ITD+/NPM1+ group, whereas the proportion of NKT cells was significantly decreased. Additionally, the CEBPA+ group showed an increased proportion of NKT cells compared to the TP53+ group and ASXL1+ group. The high-risk group had a higher proportion of NK cells than the intermediate-risk group, while the proportion of NKT cells was lower in the high-risk group compared to the intermediate-risk group.Patients achieving first induction remission displayed a higher proportion of NKT cells at initial diagnosis compared to those who did not achieve remission. The distribution of NK cells show significant differences among AML patients in different survival periods. CONCLUSION: This results implies that distinct genetic mutations may play a role not only in tumor initiation but also in shaping the tumor microenvironment, consequently impacting prognosis.

Circ_0005615 enhances multiple myeloma progression through interaction with EIF4A3 to regulate MAP3K4 m6A modification mediated by ALKBH5.

BACKGROUND: Circular RNAs (circRNAs) are associated with development and progression of multiple myeloma (MM). However, the role and mechanism of circ_0005615 in MM have not been elucidated. METHODS: Circ_0005615 was determined by GEO database. quantitative RT-PCR was performed to confirm the expression of circ_0005615 in peripheral blood of MM patients and MM cells. The roles of circ_0005615 in MM were analyzed using CCK8, transwell invasion, cell apoptosis and tumor xenograft experiments. Bioinformatics tools, RIP and RNA pull down assays were conducted to explore the downstream of circ_0005615. Furthermore, the mechanism was investigated by quantitative RT-PCR, western blot, dot blot and meRIP-PCR assays. RESULTS: Circ_0005615 was upregulated in MM. Overexpression of circ_0005615 promoted cell viability and invasion, and suppressed apoptosis in vitro, which were opposite when circ_0005615 was knockdowned. Mechanistically, EIF4A3, a RNA-binding protein (RBP), could directly bind to circ_0005615 and ALKBH5, where ALKBH5 could directly combine with MAP3K4, forming a circ_0005615- EIF4A3-ALKBH5-MAP3K4 module. Furthermore, circ_0005615 overexpression increased m6A methylation of MAP3K4 by inhibiting ALKBH5, leading to decreased MAP3K4. Further functional experiments indicated that ALKBH5 overexpression weakened the promoting roles of circ_0005615 overexpression in MAP3K4 m6A methylation and tumor progression in MM. The above functions and mechanism were also verified in vivo. CONCLUSIONS: Elevated circ_0005615 decreased MAP3K4 mediated by ALKBH5 through interacting with EIF4A3, thereby accelerating MM progression. Circ_0005615 might be a promising biomarker and target of MM.

Age- and Gender-Specific Reference Intervals for the Fasting Serum Lipid Levels in a Pediatric Population Aged 0-＜15 Years in Nanjing, China.

AIMS: The lipid reference intervals (RIs) that are currently used for children in China are not based on studies of the local population and normally do not consider age or gender differences. This study aimed to establish age- and sex-specific RIs for the fasting serum lipid levels in the pediatric population aged 0 - 15 years in Nanjing, China. METHODS: 5,866 children aged 3 days to ＜15 years were recruited to establish serum lipid RIs, and the triglyceride (TG), total cholesterol (TC), and high-density lipoprotein cholesterol (HDL-C) levels were analyzed using the Roche cobas702 automatic biochemical analyzer. Low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (nHDL-C) levels were calculated (LDL-C=TC-HDL-C-TG/5, and nHDL-C=TC-HDL-C). Smoothed percentile curves for the boys and girls were generated using the LMS method. Age- and sex-specific RIs were the determined according to the methods recommended by the Clinical and Laboratory Standards Institute EP28-A3c guidelines. RESULTS: This study showed that the serum lipid levels varied considerably throughout childhood and adolescence, with sex differences, especially in infants aged less than 2 years and puberty. Based on the Harris-Boyd method, sex partitions were required for ages ＜6 months in the TC indicator and for ages ≤ 28 days in LDL-C and nHDL-C. Age partitions were also required for all serum lipid parameters. CONCLUSIONS: We established age- and sex-specific RIs for TG, TC, HDL-C, LDL-C, and nHDL-C parameters in children aged 0 days to ＜15 years in Nanjing, China. These data are thus considered to be useful for the screening of dyslipidemia in children and adolescents.

Adjusted Global Antiphospholipid Syndrome Score (aGAPSS) and PLT, APTT: Predictive Value of Thrombotic Risk Assessment in SLE Patients.

BACKGROUND: Risk assessment of vascular thrombosis in SLE patients with the presence of antiphospholipid antibodies (aPL) remains a challenge. The adjusted global antiphospholipid syndrome score (aGAPSS) has been validated and used to predict aPL-related thrombosis in SLE patients in some countries. Relevant data of aGAPSS in thrombotic evaluation in SLE population from China has not been reported. We aim to validate aGAPSS in thrombosis assessment in Chinese patients with SLE and to explore the correlations of aGAPSS with routine laboratory parameters and their clinical significance as well. METHODS: A total of 166 consecutive SLE patients were retrospectively analyzed. Multivariate logistic regression analysis was performed to examine the impact of multiple cardiovascular risk factors and laboratory parameters in recurrent thrombosis risk in SLE. ROC was conducted to explore the discriminative ability of aGAPSS and platelet (PLT), activated partial thromboplastin time (APTT), alone or in combination. RESULTS: Significantly higher value of aGAPSS was seen in SLE patients with vascular thrombosis. ROC curve indicated that aGAPSS of 3.5 or more had the best diagnostic accuracy for the prediction of aPL-related thrombosis in SLE patients. PLT with cutoff of 187.5 x 109/L and APTT with 37.5 seconds were predictors of aPL-related thrombosis as well. The combination of aGAPSS with PLT and APTT improved AUC compared to aGAPSS alone. CONCLUSIONS: The aGAPSS could predict the risk of aPL-related vascular thrombosis in SLE patients from China. The combination of aGAPSS with PLT and APTT was first time proved to have better predictive performance in thrombosis risk assessment in SLE.

i-shaped antibody engineering enables conformational tuning of biotherapeutic receptor agonists.

The ability to leverage antibodies to agonize disease relevant biological pathways has tremendous potential for clinical investigation. Yet while antibodies have been successful as antagonists, immune mediators, and targeting agents, they are not readily effective at recapitulating the biology of natural ligands. Among the important determinants of antibody agonist activity is the geometry of target receptor engagement. Here, we describe an engineering approach inspired by a naturally occurring Fab-Fab homotypic interaction that constrains IgG in a unique i-shaped conformation. i-shaped antibody (iAb) engineering enables potent intrinsic agonism of five tumor necrosis factor receptor superfamily (TNFRSF) targets. When applied to bispecific antibodies against the heterodimeric IL-2 receptor pair, constrained bispecific IgG formats recapitulate IL-2 agonist activity. iAb engineering provides a tool to tune agonist antibody function and this work provides a framework for the development of intrinsic antibody agonists with the potential for generalization across broad receptor classes.

Deep learning-based prediction of coronary artery calcium scoring in hemodialysis patients using radial artery calcification.

OBJECTIVE: This study used random forest model to explore the feasibility of radial artery calcification in prediction of coronary artery calcification in hemodialysis patients. MATERIAL AND METHODS: We enrolled hemodialysis patients and performed ultrasound examinations on their radial arteries to evaluate the calcification status using a calcification index. All involved patients received coronary artery computed tomography scans to generate coronary artery calcification scores (CACS). Clinical variables were collected from all patients. We constructed both a random forest model and a logistic regression model to predict CACS. Logistic regression model was used to identify the risk factors of radial artery calcification. RESULTS: One hundred eighteen patients were included in our analysis. In random forest model, the radial artery calcification index, age, serum C-reactive protein, body mass index (BMI), diabetes, and hypertension history were related to CACS based on the average decrease of the Gini coefficient. The random forest model achieved a sensitivity of 76.9%, specificity of 75.0%, and area under receiver operating characteristic of 0.869, while the logistic regression model achieved a sensitivity of 75.2%, specificity of 68.7%, and area under receiver operating characteristic of 0.742 in prediction of CACS. Sex, BMI index, smoking history, hypertension history, diabetes history, and serum total calcium were all the risk factors related to radial artery calcification. CONCLUSIONS: A random forest model based on radial artery calcification could be used to predict CACS in hemodialysis patients, providing a potential method for rapid screening and prediction of coronary artery calcification.

Structure of brain grey and white matter in infants with spastic cerebral palsy and periventricular white matter injury.

AIM: To investigate the possible covariation of grey matter volume (GMV) and white matter fractional anisotropy in infants with spastic cerebral palsy (CP) and periventricular white matter injury. METHOD: Thirty-nine infants with spastic CP and 25 typically developing controls underwent structural magnetic resonance imaging and diffusion tensor imaging. Multimodal canonical correlation analysis with joint independent component analysis were used to capture differences in GMV and fractional anisotropy between groups. Correlation analysis was performed between imaging findings and clinical features. RESULTS: Infants with spastic CP showed one joint group-discriminating component (i.e. GMV-fractional anisotropy) associated with regions in the cortico-basal ganglia-thalamo-cortical loop and in the corpus callosum compared to typically developing controls and one modality-specific group-discriminating component (i.e. GMV). Significant negative correlations were found between loadings in certain regions and the motor function score in spastic CP. INTERPRETATION: In infants with spastic CP, covarying GMV-fractional anisotropy and altered GMV in specific regions were implicated in motor dysfunction, which confirmed that simultaneous GMV and fractional anisotropy changes underly motor deficits, but might also extend to sensory, cognitive, or visual dysfunction. These findings also suggest that multimodal fusion analysis allows for a more comprehensive understanding of the relevance between grey and white matter structures and its crucial role in the neuropathological mechanisms of spastic CP.